Summary
✨ AI‑Generated
Join a fast-growing, well-funded technology company as a Staff Backend Engineer and own the architecture of a sophisticated sourcing and research engine. You will lead work across data ingestion, ranking, personalization, retrieval, reranking, model orchestration, and LLM-based evaluation while shaping technical strategy for AI-first experiences. The position offers substantial ownership, strong benefits, and a hybrid work model.
Highlights
Own end-to-end architecture for a sophisticated data and AI platform, with strong compensation, bonus, comprehensive health coverage, retirement benefits, and a hybrid schedule. The role offers significant technical ownership across search, retrieval, ranking, personalization, and LLM-driven evaluation.
Description
Comp: $200-280k base, bonus, full health, 401k, and lots more
Hybrid: 3 days/week in Manhattan
Our client is a well-funded startup that maps the global startup landscape so investors, corporate development, and GTM teams so they can find breakout companies before they're obvious.
Trusted by leading AI labs, VCs, and fintechs, they're growing 100%+ YoY and are on a mission to connect billions in capital with the founders who deserve it.
About the team
Their team powers search, research, and evaluation across tens of millions of companies, hundreds of millions of operators, and tens of thousands of investors.
They've built an industry-leading agentic layer for startup research, and we're defining the playbook for AI-first product experiences.
The role
Own end-to-end architecture of our sourcing engine: ingestion, ranking, personalization, and model orchestrationDefine frameworks for retrieval, reranking, and LLM-driven evaluationLead technical discovery on emerging tech (memory systems, embeddings, agentic frameworks) and build fast, reliable evaluation pipelinesPartner with product/design to shape intuitive, AI-native UX patternsMentor engineers and drive cross-team architectural clarity
Tech stack: LangChain, LangGraph, Groq, Terraform, React, TypeScript, dbt, PostgreSQL, Elasticsearch, GCP, Python, Go
What we're looking for
7+ years building distributed systems or large-scale backend architectureTrack record designing and scaling search, recommendation, or ranking systemsClear progression at high-growth, VC-backed startups; demonstrated technical leadership/mentoringCS or related technical degree from a strong universityDeep experience with data-intensive, asynchronous, or event-driven systemsHands-on leadership of ML/LLM integrations in productionStrong product instincts and communication skills
Not a fit: ML infra, research scientist, or ML ops-focused backgrounds
Why join: Work on a genuinely hard technical problem (one of the largest startup knowledge graphs in the world) at a company still early in its growth curve, with outsized influence over product direction.
Open to US citizens, OPT, H1B transfers, new H1B, and TN
